The QoL lab research interests revolve around the fundamental and algorithmic problems of systems enabling an assessment and improvement of human behavior, well-being, health, disease self-management, and quality of life in the long term. The QoL Lab leverages personal, longitudinal, real-world data approaches (including, e.g., ‘quantified-self’ and N-of-1 designs) in Living Lab settings.
UCPH Data+ project “AI@CARE: Laws and Ethics and Algorithmic Bias in Healthcare” (2020-2023)
European Ambient Assisted Living project “The Social Robot Companion to Support Homecare Nurses” (AAL-GUARDIAN) (AAL-2019-6-120-CP) (2020-2022).
European COST Action “CardioRNA: Catalysing Transcriptomics Research in Cardiovascular Disease” (CA17129) (2018-2022)
European H2020 Project “ECoWeB: Assessing and Enhancing Emotional Competence for Well-Being in the Young: A principled, evidence-based, mobile-health approach to prevent mental disorders and promote mental well-being” (no. 754657) (2018-2021) embracing “mQoL Living Lab” (mQoL)
European H2020 Project “WellCo: Wellbeing and Health Virtual Coach” (no. 769765) (2018-2021) embracing “mQoL Living Lab” (mQoL)
Carlsberg Foundation project “Uncertain Archives: Unknowns, Errors, and Vulnerabilities in Big Data” (Uncertain Archives) (CF16-0332) (2017-2020) (Prof. Katarzyna Wac contributes to this project as a co-Investigator)